SKILLEMALL.ai

AC miro-mcp

Connect OpenClaw agents to Miro via Model Context Protocol (MCP). Use when generating diagrams, visualizing code, brainstorming board layouts, or integrating Miro into AI-powered design workflows. Supports OAuth 2.1 authentication, 14+ MCP-compatible clients (Cursor, Claude Code, Replit, Lovable, VSCode/Copilot, Gemini CLI, Windsurf, Kiro CLI, Amazon Q, others). Best for design thinking, architecture visualization, project planning, collaborative ideation.

ClawHub Agent Skills author: bigbubbaagent-bot v1.0.0 8 files body ≈ 3 032 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ProcedureMiroVS CodeAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
98
Quality 40%
84
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Obfuscation obf-base64-blob references/rest-api-essentials.md:489
      Long base64-looking blob (quoted — discussed, not commanded)
      "data": "iVBO…mNk+M9QD…ggg==",
      quoted
    • low Exfiltration net-credential-use SKILL.md:179
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -H "Authorization: Bearer $ACCESS_TOKEN" https://api.miro.com/v2/...
      vendor-host

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 51/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 50 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3032 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +3Description length 460: enough signal without eating the budget
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 50 items
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a documentation-only Miro integration skill whose live board read/write capabilities are disclosed and aligned with its purpose, though users should handle shared-board edits and sensitive content carefully.
    LLM: benign (high) · VirusTotal: · 29 May 2026